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Your search keyword '"Pientong, Chamsai"' showing total 19 results
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19 results on '"Pientong, Chamsai"'

1. The Dual Functions of Andrographolide in the Epstein–Barr Virus-Positive Head-and-Neck Cancer Cells: The Inhibition of Lytic Reactivation of the Epstein–Barr Virus and the Induction of Cell Death

Author

Heawchaiyaphum, Chukkris, primary, Malat, Praphatson, additional, Pientong, Chamsai, additional, Roytrakul, Sittiruk, additional, Yingchutrakul, Yodying, additional, Aromseree, Sirinart, additional, Suebsasana, Supawadee, additional, Mahalapbutr, Panupong, additional, and Ekalaksananan, Tipaya, additional

Published
2023
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4. Intrahost Genetic Diversity of Dengue Virus in Human Hosts and Mosquito Vectors under Natural Conditions Which Impact Replicative Fitness In Vitro

Author

Nonyong, Patcharaporn, primary, Ekalaksananan, Tipaya, additional, Phanthanawiboon, Supranee, additional, Overgaard, Hans J., additional, Alexander, Neal, additional, Thaewnongiew, Kesorn, additional, Sawaswong, Vorthon, additional, Nimsamer, Pattaraporn, additional, Payungporn, Sunchai, additional, Phadungsombat, Juthamas, additional, Nakayama, Emi E., additional, Shioda, Tatsuo, additional, and Pientong, Chamsai, additional

Published
2023
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5. Mathematical Modelling of Cervical Precancerous Lesion Grade Risk Scores: Linear Regression Analysis of Cellular Protein Biomarkers and Human Papillomavirus E6/E7 RNA Staining Patterns

Author

Bumrungthai, Sureewan, primary, Ekalaksananan, Tipaya, additional, Kleebkaow, Pilaiwan, additional, Pongsawatkul, Khajohnsilp, additional, Phatnithikul, Pisit, additional, Jaikan, Jirad, additional, Raumsuk, Puntanee, additional, Duangjit, Sureewan, additional, Chuenchai, Datchani, additional, and Pientong, Chamsai, additional

Published
2023
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6. Human Oncogenic Epstein–Barr Virus in Water and Human Blood Infection of Communities in Phayao Province, Thailand

Author

Pongpakdeesakul, Sutida, primary, Ekalaksananan, Tipaya, additional, Pientong, Chamsai, additional, Iamchuen, Niti, additional, Buddhisa, Surachat, additional, Mahingsa, Khwanruedee, additional, Pingyod, Arunee, additional, Sangsrijun, Wanwipa, additional, Passorn, Supaporn, additional, Chopjitt, Peechanika, additional, Duangjit, Sureewan, additional, and Bumrungthai, Sureewan, additional

Published
2023
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7. Characterization and Involvement of Exosomes Originating from Chikungunya Virus-Infected Epithelial Cells in the Transmission of Infectious Viral Elements

Author

Le, Bao Chi Thi, primary, Burassakarn, Ati, additional, Tongchai, Panwad, additional, Ekalaksananan, Tipaya, additional, Aromseree, Sirinart, additional, Phanthanawiboon, Supranee, additional, Polsan, Yada, additional, Alexander, Neal, additional, Overgaard, Hans J., additional, and Pientong, Chamsai, additional

Published
2022
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13. Development and Comparison of Dengue Vulnerability Indices Using GIS-Based Multi-Criteria Decision Analysis in Lao PDR and Thailand

Author

Zafar, Sumaira, primary, Shipin, Oleg, additional, Paul, Richard E., additional, Rocklöv, Joacim, additional, Haque, Ubydul, additional, Rahman, Md. Siddikur, additional, Mayxay, Mayfong, additional, Pientong, Chamsai, additional, Aromseree, Sirinart, additional, Poolphol, Petchaboon, additional, Pongvongsa, Tiengkham, additional, Vannavong, Nanthasane, additional, and Overgaard, Hans J., additional

Published
2021
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16. Correction: Doum, D., et al. Dengue Seroprevalence and Seroconversion in Urban and Rural Populations in Northeastern Thailand and Southern Laos. Int. J. Environ. Res. Public Health 2020, 17, 9134

Author

Doum, Dyna, primary, Overgaard, Hans J., additional, Mayxay, Mayfong, additional, Suttiprapa, Sutas, additional, Saichua, Prasert, additional, Ekalaksananan, Tipaya, additional, Tongchai, Panwad, additional, Rahman, Md. Siddikur, additional, Haque, Ubydul, additional, Phommachanh, Sysavanh, additional, Pongvongsa, Tiengkham, additional, Rocklöv, Joacim, additional, Paul, Richard, additional, and Pientong, Chamsai, additional

Published
2021
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17. Dengue Seroprevalence and Seroconversion in Urban and Rural Populations in Northeastern Thailand and Southern Laos

Author

Doum, Dyna, primary, Overgaard, Hans J., additional, Mayxay, Mayfong, additional, Suttiprapa, Sutas, additional, Saichua, Prasert, additional, Ekalaksananan, Tipaya, additional, Tongchai, Panwad, additional, Rahman, Md. Siddikur, additional, Haque, Ubydul, additional, Phommachanh, Sysavanh, additional, Pongvongsa, Tiengkham, additional, Rocklöv, Joacim, additional, Paul, Richard, additional, and Pientong, Chamsai, additional

Published
2020
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18. Epstein–Barr Virus Infection of Oral Squamous Cells

Author

Heawchaiyaphum, Chukkris, primary, Iizasa, Hisashi, additional, Ekalaksananan, Tipaya, additional, Burassakarn, Ati, additional, Kiyono, Tohru, additional, Kanehiro, Yuichi, additional, Yoshiyama, Hironori, additional, and Pientong, Chamsai, additional

Published
2020
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19. Mathematical Modelling of Cervical Precancerous Lesion Grade Risk Scores: Linear Regression Analysis of Cellular Protein Biomarkers and Human Papillomavirus E6 / E7 RNA Staining Patterns.

Author

Bumrungthai S, Ekalaksananan T, Kleebkaow P, Pongsawatkul K, Phatnithikul P, Jaikan J, Raumsuk P, Duangjit S, Chuenchai D, and Pientong C

Abstract

The current practice of determining histologic grade with a single molecular biomarker can facilitate differential diagnosis but cannot predict the risk of lesion progression. Cancer is caused by complex mechanisms, and no single biomarker can both make accurate diagnoses and predict progression risk. Modelling using multiple biomarkers can be used to derive scores for risk prediction. Mathematical models (MMs) may be capable of making predictions from biomarker data. Therefore, this study aimed to develop MM-based scores for predicting the risk of precancerous cervical lesion progression and identifying precancerous lesions in patients in northern Thailand by evaluating the expression of multiple biomarkers. The MMs (Models 1-5) were developed in the test sample set based on patient age range (five categories) and biomarker levels (cortactin, p16 INK4A , and Ki-67 by immunohistochemistry [IHC], and HPV E6 / E7 ribonucleic acid (RNA) by in situ hybridization [ISH]). The risk scores for the prediction of cervical lesion progression ("risk biomolecules") ranged from 2.56-2.60 in the normal and low-grade squamous intraepithelial lesion (LSIL) cases and from 3.54-3.62 in cases where precancerous lesions were predicted to progress. In Model 4, 23/86 (26.7%) normal and LSIL cases had biomolecule levels that suggested a risk of progression, while 5/86 (5.8%) cases were identified as precancerous lesions. Additionally, histologic grading with a single molecular biomarker did not identify 23 cases with risk, preventing close patient monitoring. These results suggest that biomarker level-based risk scores are useful for predicting the risk of cervical lesion progression and identifying precancerous lesion development. This multiple biomarker-based strategy may ultimately have utility for predicting cancer progression in other contexts.

Published
2023
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